code: def check_decollate(self, dataset):
      batch_size = 2
      num_workers = 2 if sys.platform == "linux" else 0
  
      loader = DataLoader(
          dataset,
          batch_size=batch_size,
          shuffle=False,
          num_workers=num_workers,
      )
  
      for b, batch_data in enumerate(loader):
          decollated_1 = decollate_batch(batch_data)
          decollated_2 = Decollated(detach=True)(batch_data)
  
          for decollated in [decollated_1, decollated_2]:
              for i, d in enumerate(decollated):
                  self.check_match(dataset[b * batch_size + i], d)
  
imports: from __future__ import annotations
  import sys
  import unittest
  from enum import Enum
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import CacheDataset, DataLoader, Dataset, create_test_image_2d
  from monai.data.utils import decollate_batch
  from monai.transforms import Compose, EnsureChannelFirst, EnsureChannelFirstd, LoadImage, LoadImaged, RandAffine, RandFlip, RandFlipd, RandRotate90, SpatialPad, SpatialPadd, ToTensor, ToTensord
  from monai.transforms.inverse_batch_transform import Decollated
  from monai.transforms.spatial.dictionary import RandAffined, RandRotate90d
  from monai.utils import optional_import, set_determinism
  from monai.utils.enums import PostFix, TraceKeys
  from tests.utils import make_nifti_image
label_desc: Use image node_id 4 for calling the TestDeCollate obj's underlying member method code with example usage: obj.check_decollate(dataset) without return types